Traffic-driven epidemic spreading and its control strategies

Abstract Many epidemics or viruses in real life spread by taking advantage of other dynamic processes, e.g., the computer virus propagates with the transmission of packets. In this paper, we survey the recent progress in the study of Traffic-Driven Epidemic Spreading (TDES) on complex networks. First, we introduce several typical TDES models. Then, we analyze the key factors which have significant impact on the epidemic threshold, such as the traffic congestion and routing protocols. Furthermore, we discuss the control of the TDES by focusing on the network structure optimization and the immunization strategies. Finally, we put some issues that need to be further explored in the future.

[1]  Tao Zhou,et al.  Traffic dynamics based on local routing protocol on a scale-free network. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  LU Xiao-Hong,et al.  無秩序有機半導体における電位依存性一般化したEinstein関係【Powered by NICT】 , 2009 .

[3]  Wen-Xu Wang,et al.  Control of epidemic spreading on complex networks by local traffic dynamics. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  Jian Yang,et al.  Traffic-driven SIR epidemic spreading in networks , 2015, Physica A: Statistical Mechanics and its Applications.

[5]  Bo Hu,et al.  Efficient routing on complex networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Bing-Hong Wang,et al.  Decoupling process for better synchronizability on scale-free networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[8]  Alessandro Vespignani,et al.  Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm , 2012, BMC Medicine.

[9]  Bing-Hong Wang,et al.  Suppressing traffic-driven epidemic spreading by edge-removal strategies , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  Wen-Xu Wang,et al.  Method to enhance traffic capacity for scale-free networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[11]  Yamir Moreno,et al.  Improved routing strategies for Internet traffic delivery. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  J. Gómez-Gardeñes,et al.  Scaling breakdown in flow fluctuations on complex networks. , 2008, Physical review letters.

[13]  Alex Arenas,et al.  Traffic-driven epidemic spreading in finite-size scale-free networks , 2009, Proceedings of the National Academy of Sciences.

[14]  Jian Wang,et al.  On the Recovery Limit of Sparse Signals Using Orthogonal Matching Pursuit , 2012, IEEE Transactions on Signal Processing.

[15]  Alessandro Vespignani,et al.  Epidemic modeling in metapopulation systems with heterogeneous coupling pattern: theory and simulations. , 2007, Journal of theoretical biology.

[16]  M. Newman.  Spread of epidemic disease on networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  A. Fronczak,et al.  Biased random walks in complex networks: the role of local navigation rules. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Romualdo Pastor-Satorras,et al.  Nature of the epidemic threshold for the susceptible-infected-susceptible dynamics in networks. , 2013, Physical review letters.

[19]  Matjaz Perc,et al.  Impact of link deletions on public cooperation in scale-free networks , 2011, ArXiv.

[20]  Alessandro Vespignani,et al.  Epidemic spreading in scale-free networks. , 2000, Physical review letters.

[21]  Zhongyuan Ruan,et al.  Epidemic spreading with information-driven vaccination. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  Hai-Feng Zhang,et al.  Effects of awareness diffusion and self-initiated awareness behavior on epidemic spreading - An approach based on multiplex networks , 2015, Communications in Nonlinear Science and Numerical Simulation.

[23]  C. Scoglio,et al.  Competitive epidemic spreading over arbitrary multilayer networks. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[24]  Alexandre Arenas,et al.  Optimal network topologies for local search with congestion , 2002, Physical review letters.

[25]  Wen-Xu Wang,et al.  Traffic-driven epidemic spreading on networks of mobile agents , 2012 .

[26]  Jesús Gómez-Gardeñes,et al.  Local Empathy provides Global Minimization of Congestion in Communication Networks , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  Wen-Xu Wang,et al.  Transportation dynamics on networks of mobile agents , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[28]  Alessandro Vespignani,et al.  Reaction–diffusion processes and metapopulation models in heterogeneous networks , 2007, cond-mat/0703129.

[29]  Qi Xuan,et al.  Temporal motifs reveal collaboration patterns in online task-oriented networks. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

[30]  Wen-Xu Wang,et al.  Traffic-driven epidemic outbreak on complex networks: How long does it take? , 2012, Chaos.

[31]  Bing-Hong Wang,et al.  Immunization of traffic-driven epidemic spreading , 2016 .

[32]  Han-Xin Yang,et al.  Suppressing traffic-driven epidemic spreading by use of the efficient routing protocol , 2014 .

[33]  Wang Bing-Hong,et al.  An Efficient Control Strategy of Epidemic Spreading on Scale-Free Networks , 2009 .

[34]  Sinan Aral,et al.  The spread of true and false news online , 2018, Science.

[35]  S. Havlin,et al.  Epidemic threshold for the susceptible-infectious-susceptible model on random networks. , 2010, Physical review letters.

[36]  R. Pastor-Satorras,et al.  Generation of uncorrelated random scale-free networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[37]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[38]  Alessandro Vespignani,et al.  Evolution and Structure of the Internet: A Statistical Physics Approach , 2004 .